Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc.
Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Leadership Principles:
Ownership, Customer obsession, Dive Deep and Deliver results
Mandatory requirements:
3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL & SQL Tuning
Basic to Mid-level proficiency in scripting with Python
Education or Certification Requirements:
Any Graduation
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time